MCR-Bionic Hand: Anatomical Structural Priors for Dexterous Manipulation
作者: Haosen Yang, Guowu Wei
分类: cs.RO, eess.SY
发布日期: 2026-06-11
💡 一句话要点
提出MCR-Bionic手以解决灵巧机器人手的控制问题
🎯 匹配领域: 支柱一：机器人控制 (Robot Control)
关键词: 灵巧机器人手 解剖结构 结构智能 肌肉调节 仿生设计 人机交互 机器人控制
📋 核心要点
- 现有的灵巧机器人手在控制精度和灵活性方面存在不足，难以模拟人手的复杂动作。
- 论文提出了一种基于解剖结构的MCR-Bionic手，通过结构先验生成和肌肉调节来提升灵巧性和稳定性。
- 实验结果表明，MCR-Bionic手在多种接触任务中表现优异，能够实现更精确的动作控制和稳定性。
📝 摘要（中文）
灵巧机器人手通常被视为高维度的主动控制系统，受自由度、驱动和算法的影响。然而，人手的灵巧性部分源于其骨骼、韧带、肌腱等的物理结构。本文提出了两种结构智能形式：结构先验生成和肌肉介导调节。基于此框架，开发了MCR-Bionic手，集成了多种解剖结构，功能演示表明该手在接触丰富的任务中表现出色，能够有效链接低维状态生成与精细的后接触调节。
🔬 方法详解
问题定义：本文旨在解决灵巧机器人手在控制和灵活性方面的不足，现有方法难以有效模拟人手的复杂动作和稳定性。
核心思路：通过引入解剖结构的先验知识，MCR-Bionic手结合了结构先验生成和肌肉介导调节，以提升机器手的灵巧性和适应性。
技术框架：MCR-Bionic手的整体架构包括一个1:1的肌肉骨骼仿生手，集成了多种解剖结构，如两排八骨腕、交叉腕肌腱、解剖性屈肌路径等，形成一个完整的控制系统。
关键创新：最重要的技术创新在于将解剖结构与控制策略相结合，利用结构先验生成和肌肉调节实现了更高的灵巧性和稳定性，这与传统的控制方法有本质区别。
关键设计：在设计中，重点考虑了腕部姿态对多关节预成型的影响，采用了特定的解剖约束和肌肉路径，以优化接触状态和力路径。
🖼️ 关键图片
📊 实验亮点
实验结果显示，MCR-Bionic手在多种接触任务中表现出色，如硬币旋转、笔转移等，能够实现更精确的动作控制。与传统机器人手相比，其在灵巧性和稳定性上有显著提升，具体性能数据尚未披露。
🎯 应用场景
MCR-Bionic手的研究具有广泛的应用潜力，特别是在医疗康复、服务机器人和人机交互等领域。其解剖结构的仿生设计能够提升机器人在复杂环境中的操作能力，未来可能推动智能机器人技术的发展。
📄 摘要（原文）
Dexterous robotic hands are usually formulated as high dimensional active control systems governed by degrees of freedom, actuation, and algorithms. Human hand dexterity, however, is partly encoded in the physical architecture of bones, ligaments, tendons, aponeuroses, and intrinsic muscles. This work describes that contribution as two linked forms of structural intelligence: structural prior generation, in which wrist to finger tenodesis, FDS/FDP routing, and the dorsal extensor hood transform low dimensional posture inputs into default grasp configurations and PIP to DIP coordination; and muscle mediated modulation, in which extrinsic muscles, lumbricals, and interossei regulate MCP posture, distal stability, fingertip force paths, and contact states around that default state. Based on this framework, MCR-Bionic Hand is developed as a 1:1 musculoskeletal biomimetic hand integrating a two row eight bone wrist, cross wrist tendons, anatomical flexor routing, volar plate and collateral ligament constraints, the dorsal extensor hood, and intrinsic muscle pathways within one body. Functional demonstrations and geometric mechanical models show that wrist posture induces multi joint pre shaping, the extensor hood maps PIP posture to a coupled DIP response, and intrinsic plus pathways modulate distal stability and fingertip action direction after grasp formation. Contact rich tasks, including coin rotation, pen transfer, dorsal coin flipping, and cube manipulation, show that MCR-Bionic links low dimensional state generation with fine post contact modulation. These results suggest that anatomical biomimetics is valuable not for visual similarity, but for identifying human hand structures that perform part of control.